This article talks about a study that proposes a multi-objective model for scheduling Intensity Modulated Radiotherapy Treatment (IMRT) in patients with lung cancer. The model uses Genetic Algorithms (GA) to minimize the fitness function and optimize the weight between layers and biases. The data set consists of 120 cases of CT indicators of lung cancer, and the study uses a new approach to establish an accurate classification model by combining the Firefly Algorithm with the GA. The objective function of the study is to decrease the mean squared error (mse), and the suggested GA-based Firefly Algorithm technique showed the lowest mse of 0.0014 when compared to other existing algorithms. The study also discusses and displays the assessment results of the suggested GA-based FA. Overall, the proposed model based on GA beats other algorithms in terms of accuracy and mse, according to the evaluation data.
Author(s) Details:
Keshav Kumar K.,
Department of Humanities and Mathematics, G. Narayanamma Institute of Technology and Science (for Women), Hyderabad-500 104, Telangana, India.
N. V. S. L. Narasimham,
Department of Humanities and Mathematics, G. Narayanamma Institute of Technology and Science (for Women), Hyderabad-500 104, Telangana, India.
Please see the link here: https://stm.bookpi.org/CPSTR-V5/article/view/13277
Keywords: Radiotherapy, genetic algorithms (GA), firely algorithm (FA), IMRT, lung cancer
